High transaction throughput refers to a blockchain network’s capacity to process a large volume of transactions per second. This metric is a key indicator of a blockchain’s efficiency and scalability, directly affecting its ability to support widespread adoption of decentralized applications and digital assets. Networks achieving high throughput can handle numerous concurrent operations without significant delays or increased transaction costs. Various architectural solutions, including sharding and layer-2 scaling, are employed to enhance this capability.
Context
Achieving high transaction throughput is a critical objective for many blockchain projects aiming to compete with traditional financial systems. The competition among protocols to demonstrate superior transaction processing capabilities is a frequent topic in crypto news. Observing the sustained performance of networks under heavy load will be important for evaluating their long-term viability.
A new Deep Reinforcement Learning model dynamically selects validators and adjusts difficulty, fundamentally solving the scalability-latency trade-off.
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